Transferable Learning of Reaction Pathways from Geometric Priors

Juno Nam, Miguel Steiner, Max Misterka +3

Identifying minimum-energy paths (MEPs) is crucial for understanding chemical reaction mechanisms but remains computationally demanding. We introduce MEPIN, a scalable machine-lear…